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Job description:職位職責(zé)描述
1.Responsible for researching, developing, and implementing SLAM algorithm solutions for mapping, localization, re-localization, and other aspects in different scenarios for the cleaning machine, as well as iterating and optimizing these solutions.
負(fù)責(zé)研究開(kāi)發(fā)并落實(shí)掃地機(jī)在不同場(chǎng)景下的建圖、定位、重定位等方面的SLAM算法方案及其迭代優(yōu)化。
2.Responsible for researching, developing, and implementing laser SLAM and visual SLAM fusion algorithms, as well as multi-sensor fusion algorithms.
負(fù)責(zé)研究開(kāi)發(fā)并落實(shí)激光SLAM和視覺(jué)SLAM融合算法、多傳感器融合算法等。
3.Responsible for developing the UI frontend software based on the QT or Android platform and developing the business logic modules based on ROS.
負(fù)責(zé)開(kāi)發(fā)基于QT或安卓平臺(tái)的UI前端軟件，開(kāi)發(fā)基于ROS的業(yè)務(wù)邏輯模塊。
4.Develop and optimize robot navigation module, including path planning, motion control, full coverage, edge following, and obstacle avoidance.
開(kāi)發(fā)和優(yōu)化機(jī)器人導(dǎo)航塊，包括路徑規(guī)劃、運(yùn)動(dòng)控制、全覆蓋、貼邊和障礙物避障
5.Responsible for the development, optimization, and product iteration of related algorithms on embedded platforms.
負(fù)責(zé)相關(guān)算法在嵌入式平臺(tái)的開(kāi)發(fā)、優(yōu)化以及產(chǎn)品迭代
6.Provide intelligent solutions for traditional cleaning equipment.
在傳統(tǒng)清潔設(shè)備的開(kāi)發(fā)過(guò)程中，提供智能化解決方案。

Qualifications:
1.Bachelor’s degree or above in Computer Science, Software Engineering or similar. Master’s degree will be preferred.
全日制本科及以上學(xué)歷，計(jì)算機(jī)科學(xué)，軟件工程等相關(guān)專業(yè)，碩士?jī)?yōu)先。
2.Familiar with SLAM-related open-source frameworks (such as Cartographer, ORB_SLAM, and LVI-SAM), with experience in 2D/3D laser point cloud feature extraction, description, and matching, and with practical project implementation experience.
熟悉SLAM相關(guān)開(kāi)源框架(如Cartographer、ORB_SLAM、LVI-SAM)，有2D/3D激光點(diǎn)云特征提取、描述及匹配等相關(guān)經(jīng)驗(yàn)，有實(shí)際項(xiàng)目落地經(jīng)驗(yàn)。
3.Familiar with processing and fusion of sensor data from various sensors such as LiDAR, depth cameras, and ultrasonic sensors, and has practical project implementation experience.
熟悉激光雷達(dá)、深度相機(jī)、超聲波傳感器等多種傳感器數(shù)據(jù)處理和融合，并有實(shí)際項(xiàng)目落地經(jīng)驗(yàn)。
4.Familiar with Global and local path planner algorithm (A*, Dijkstra, RRT, DWA, TEB etc). experience for a project with full coverage and edge cleaning algorithms.
熟悉局部路徑規(guī)劃算法(如A*、 Diikstra、RRT、DW，TEB等)，有全覆蓋及延邊算法項(xiàng)目經(jīng)驗(yàn)。
5.Proficient in C programming language, familiar with Linux operating system and common commands, familiar with ROS1, ROS2, Micro ROS Agent and Isaac ROS software architecture.
熟練掌握C 編程語(yǔ)言，熟悉Linux操作系統(tǒng)及常用指令，熟悉ROS1, ROS2，Micro ROS Agent, Isaac ROS等架構(gòu)。
6.Proficient in using the tools of Docker, QT, Gazebo and Rviz etc.
熟練使用Docker容器、QT、 Gazebo 和RVIZ等軟件。
7.Possess a good awareness of code standards, familiar with Git version control and agile development processes.
具備良好的代碼規(guī)范意識(shí)，熟悉Git/Bitbucket版本管理及敏捷開(kāi)發(fā)流程。
8.Good at English.
英語(yǔ)良好。
9.Good communication and teamwork skills.
良好溝通及團(tuán)隊(duì)合作能力